URLLC Training

Ultra-reliable low latency communications (URLLC) is one of the 5G foundational technologies to support IoT in transportation, manufacturing, and health care. This course introduces the technology and looks at the features that make it possible in both Release 15 and Release 16.

woman testing 5G URLLC near cell tower

Why Take This Course?

  • Enhance your industry knowledge and skills by gaining a greater understanding of 5G and URLLC.
  • Train with engineers at Qualcomm Technologies – a world leader in 5G technology and wireless engineering.
  • Participate in a professional development opportunity you can display on your resume/CV and LinkedIn profile.

Course Outline:

  • Introduction to URLLC
  • URLLC enablers (Rel 15)
  • eURLLC (Rel 16)
  • Deployment considerations





  • Discuss utra-reliable low-latency communication (URLLC) as a 5G service class.
  • List key URLLC applications and services.
  • Discuss the development timeline for 5G specifications that support URLLC.
  • Outline key features of 5G RAN and the 5G Core Network that enable URLLC applications.
  • List the main 5G features enabling URLLC in Rel 15.
  • Discuss techniques in 5G that help reduce latency.
  • Explain features that improve reliability in 5G.
  • Describe preemption for URLLC traffic in Rel 15.
  • Introduce key enhancements in Rel 16 that improve system latency and reliability.
  • Explain multiplexing and scheduling enhancements introduced in Rel 16 that will improve overall system capacity.
  • Summarize URLLC features and deployment aspects.
  • Describe deployment considerations, e.g., MEC.
  • Explain spectrum and duplexing considerations.
  • Discuss Industrial IoT as a URLLC case study.


***NOTE: This course is taught through our eLearning platform, so you may learn online and at your own pace. You will have access to all course material for one year from your date of purchase. If you are interested in live training for a group of at least 15 people, please contact us via the “Request Training” form at the top of the page.

Course Information

Duration: 3 hours
Price : $395
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